| 000 | 03433nam a22005415i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-46383-9 | ||
| 003 | DE-He213 | ||
| 005 | 20251030112034.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240510s2024 sz | s |||| 0|eng d | ||
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_a10.1007/978-3-031-46383-9 _2doi |
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| 100 | 1 |
_aMacFarland, Thomas W. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _976598 |
|
| 245 | 1 | 0 |
_aIntroduction to Data Science in Biostatistics _h[electronic resource] : _bUsing R, the Tidyverse Ecosystem, and APIs / _cby Thomas W. MacFarland. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2024. |
|
| 300 |
_aXVII, 528 p. 97 illus., 91 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 505 | 0 | _a1. Emergence of Data Science as a Critical Discipline in Biostatistics -- 2. Data Sources in Biostatistics -- 3. Role of Statistics for Decision Making in Biostatistics -- 4. Data Science and R, Base R, and the tidyverse Ecosystem -- 5. Statistical Analyses and Graphical Presentations in Biostatistics Using Base R and the tidyverse Ecosystem -- 6. Use of R-Based APIs to Obtain Data -- 7. Putting It All Together: R, the tidyverse Ecosystem, and APIs. | |
| 520 | _aIntroduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs defines and explores the term "data science" and discusses the many professional skills and competencies affiliated with the industry. With data science being a leading indicator of interest in STEM fields, the text also investigates this ongoing growth of demand in these spaces, with the goal of providing readers who are entering the professional world with foundational knowledge of required skills, job trends, and salary expectations. The text provides a historical overview of computing and the field's progression to R as it exists today, including the multitude of packages and functions associated with both Base R and the tidyverse ecosystem. Readers will learn how to use R to work with real data, as well as how to communicate results to external stakeholders. A distinguishing feature of this text is its emphasis on the emerging use of APIs to obtain data. | ||
| 650 | 0 |
_aBiometry. _965981 |
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| 650 | 0 |
_aArtificial intelligence _xData processing. |
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| 650 | 0 |
_aStatistics . _965982 |
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| 650 | 0 | _aQuantitative research. | |
| 650 | 1 | 4 |
_aBiostatistics. _965985 |
| 650 | 2 | 4 | _aData Science. |
| 650 | 2 | 4 |
_aStatistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. _966911 |
| 650 | 2 | 4 | _aData Analysis and Big Data. |
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031463822 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031463846 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031463853 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-46383-9 |
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| 912 | _aZDB-2-SXMS | ||
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